Update app.py

app.py

@@ -1,16 +1,14 @@
-import gradio as gr
-from transformers import AutoTokenizer, ai4bharat/indic-KeyboardInterrupt
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-# Load the model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("ai4bharat/indic-bert")
-model = AutoModelForCausalLM.from_pretrained("ai4bharat/indic-bert")
+# Correctly load the tokenizer and model
+model_name = "ai4bharat/indic-bert"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
-# Function to generate Malayalam text
-def generate_text(prompt):
-    inputs = tokenizer.encode(prompt, return_tensors="pt")
-    outputs = model.generate(inputs, max_length=50, num_return_sequences=1)
-    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+# Example usage
+input_text = "This is a sample sentence for classification."
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model(**inputs)
+
+print(outputs)
 
-# Build the Gradio interface
-interface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Malayalam Text Generator")
-interface.launch()